STEP Skills Measurement Household Survey 2013 (Wave 2)
Kenya, 2013
Get Microdata
Reference ID
KEN_2013_STEP-HH_v02_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Feb 13, 2015
Last modified
Apr 07, 2016
Page views
88398
Downloads
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- Data files
-
STEP Kenya_HH
Roster_s10_final -
STEP
Kenya_working
Field or subject before dropping out (m2_q25)
Data file: STEP Kenya_working
Overview
Valid:
411
Invalid:
3483
Type:
Discrete
Decimal:
0
Start:
994
End:
995
Width:
2
Range:
1 - 97
Format:
Numeric
Questions and instructions
Literal question
Module 2: Education
25) 25. In which field or subject were you studying before dropping out?
25) 25. In which field or subject were you studying before dropping out?
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 1 | 1. Education | 24 |
5.8%
|
| 2 | 2. Humanities and Arts | 2 |
0.5%
|
| 3 | 3. Social and Behavioral Science | 3 |
0.7%
|
| 4 | 4. Journalism and Information | 2 |
0.5%
|
| 5 | 5. Business and Administration | 10 |
2.4%
|
| 6 | 6. Secretarial and Office Work | 4 |
1%
|
| 7 | 7. Law and Legal Services | 3 |
0.7%
|
| 8 | 8. Science (except Computing) | 1 |
0.2%
|
| 9 | 9. Computing / Information Technology | 6 |
1.5%
|
| 10 | 10. Engineering and Engineering Trades | 10 |
2.4%
|
| 11 | 11. Manufacturing and Processing | 4 |
1%
|
| 12 | 12. Architecture and Building | 6 |
1.5%
|
| 13 | 13. Agriculture, Forestry and Fisheries | 0 |
0%
|
| 14 | 14. Veterinary | 0 |
0%
|
| 15 | 15. Health | 2 |
0.5%
|
| 16 | 16. Social Services | 0 |
0%
|
| 17 | 17. Hotel and Catering, Travel and Tourism, Sports and Leisu | 2 |
0.5%
|
| 18 | 18. Hairdressing, Beauty treatment, Cosmetic Services | 2 |
0.5%
|
| 19 | 19. Cleaning, Laundry, Drycleaning, Domestic Science | 1 |
0.2%
|
| 20 | 20. Transport Services | 0 |
0%
|
| 21 | 21. Environmental Protection | 1 |
0.2%
|
| 22 | 22. Security Services | 0 |
0%
|
| 23 | 23. General Program or No Specific Fields | 303 |
73.7%
|
| 97 | 97. Other | 25 |
6.1%
|
| Sysmiss | 3483 |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.